Are you passionate about leveraging data to improve patient care? The Clinical Data Science specialization equips learners with the skills to use electronic health records and informatics tools to address specific challenges and interpret clinical data effectively.
Throughout six comprehensive courses, you will delve into clinical data models, patient population identification, natural language processing, predictive modeling, and advanced clinical data science techniques. With the support of industry partner Google Cloud, you will access a fully hosted online data science computational environment, enabling practical application projects using real clinical data.
Whether you have a background in statistics or programming, this specialization will expand your skills and knowledge in the field of clinical data science, making you well-prepared to advance your career in this rapidly evolving domain.
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This six-course specialization provides a comprehensive understanding of clinical data science, covering topics such as clinical data models, patient population identification, natural language processing, predictive modeling, and advanced clinical data science techniques.
Introduction to Clinical Data Science equips learners with the skills to describe how clinical data is generated and to manipulate and tidy data using SQL and R code.
Clinical Data Models and Data Quality Assessments delve into interpreting and evaluating data model designs, creating SQL statements, and understanding clinical data models.
Identifying Patient Populations teaches learners to create computational phenotyping algorithms, assess performance, and explain the impact of data types on computational phenotyping.
Clinical Natural Language Processing covers text mining, processing, and natural language processing, enabling learners to write basic regular expressions and select note sections for analysis.
Predictive Modeling and Transforming Clinical Practice explores the fundamentals of predictive modeling and clinical implementation challenges.
Advanced Clinical Data Science prepares learners for advanced topics and techniques, including temporal and research quality analysis.
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